Robust statistics provide an alternative approach to classical statistical estimators
such as mean, standard deviation (SD), and percent coefficient of variation
(%CV). These alternative procedures are more resistant to the statistical
influences of outlying events in a sample population-hence the term "robust."
Real data sets often contain gross outliers, and it is impractical to systematically
attempt to remove all outliers by gating procedures or other rule sets.
The robust equivalent of the mean statistic is the median. The robust SD is
designated rSD and the percent robust CV is designated %rCV. For perfectly
normal distributions, classical and robust statistics give the same results.
Saleh Khudirat, PhD
it is da same as coefficient of determination
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
coefficient of variation
Yes, you can have a negative coefficient in a direct variation. So if you had y = -7x, that would be a direct variation. If you have y = -x, I do not know, if that is what you mean. Hope it helped.
I have found the coefficient of variation of the first natural numbers and also other functions.
it is da same as coefficient of determination
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
Of course it is! If the mean of a set of data is negative, then the coefficient of variation will be negative.
The second set of numbers are less variable; the coefficient of variation is halved. The second set of numbers are less variable; the coefficient of variation is halved. The second set of numbers are less variable; the coefficient of variation is halved. The second set of numbers are less variable; the coefficient of variation is halved.
coefficient of variation
True
Yes, you can have a negative coefficient in a direct variation. So if you had y = -7x, that would be a direct variation. If you have y = -x, I do not know, if that is what you mean. Hope it helped.
One other name is "coefficient of variation".
The coefficient of variation is a method of measuring how spread out the values ββin a data set are relative to the mean. It is calculated as follows: Coefficient of variation = Ο / ΞΌ Where: Ο = standard deviation of the data set ΞΌ = average of the data set If you want to know more about it, you can visit SilverLake Consulting which will help you calculate the coefficient of variation in spss.
I have found the coefficient of variation of the first natural numbers and also other functions.
Yes it is. If all the observations have the same non-zero value then the coefficient of variation will be zero.
Coeff of Variation = Mean/SD